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FoodFab: Creating Food Perception Illusions using Food 3D Printing
Name
2020-CHI-foodfab-paper.pdf
Description
Accepted version
Size
27.82 MB
Format
Adobe PDF
Checksum (MD5)
f3944fe5e081b6c7f762a43c6c736487
Author(s)
Lin, Ying-Ju
Punpongsanon, Parinya
Wen, Xin
Iwai, Daisuke
Sato, Kosuke
Obrist, Marianna
Mueller, Stefanie
Date Issued
April 21, 2020
Journal
Conference on Human Factors in Computing Systems - Proceedings
Publisher
ACM
Citation
Lin, Ying-Ju, Punpongsanon, Parinya, Wen, Xin, Iwai, Daisuke, Sato, Kosuke et al. 2020. "FoodFab: Creating Food Perception Illusions using Food 3D Printing." Conference on Human Factors in Computing Systems - Proceedings.
Version
Author's final manuscript
Abstract
© 2020 ACM. Personalization of eating such that everyone consumes only what they need allows improving our management of food waste. In this paper, we explore the use of food 3D printing to create perceptual illusions for controlling the level of perceived satiety given a defined amount of calories. We present FoodFab, a system that allows users to control their food intake through modifying a food's internal structure via two 3D printing parameters: infill pattern and infill density. In two experiments with a total of 30 participants, we studied the effect of these parameters on users' chewing time that is known to affect people's feeling of satiety. Our results show that we can indeed modify the chewing time by varying infill pattern and density, and thus control perceived satiety. Based on the results, we propose two computational models and integrate them into a user interface that simplifies the creation of personalized food structures.
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
10.1145/3313831.3376421
